A weight Jackknife approach utilizing linear model based-estimators for clustered data-Reference-Cited by-同舟云学术

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A weight Jackknife approach utilizing linear model based-estimators for clustered data

Published:2022-02-23 Issue: Volume: Page:1-20
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Du Ruofei¹,Choi Ye Jin²,Lee Ji-Hyun³,Ounpraseuth Songthip¹,Hu Zhuopei¹

Affiliation:

1. Department of Biostatistics, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA

2. Department of Statistics, Ohio State University, Columbus, Ohio, USA

3. Department of Biostatistics, University of Florida; Division of Quantitative Sciences, University of Florida Health Cancer Center, Gainesville, Florida, USA

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2039396

Reference30 articles.

1. Fitting multilevel models with ordinal outcomes: Performance of alternative specifications and methods of estimation.

2. Cluster randomised trials in the medical literature: two bibliometric surveys

3. Two-Year BMI Outcomes From a School-Based Intervention for Nutrition and Exercise: A Randomized Trial

4. Cameron, A. C., and D. L. Miller. 2010. Working Paper, No. 10-7, University of California, Department of Economics, Davis, CA.

5. Bootstrap-Based Improvements for Inference with Clustered Errors

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